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human_FB13_eval.py
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human_FB13_eval.py
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prompts = []
labels = []
with open("data/FB13/FB13_test_human.tsv", "r") as f:
lines = f.readlines()
for line in lines:
tmp = line.strip().split("\t")
prompts.append(tmp[1])
labels.append(tmp[0])
correct_count = 0
lines_to_write = []
with open("data/FB13/pred_instructions_llama.csv", "r") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("?,")
res = target_line[res_begin_idx + 3: -1]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
with open("data/FB13/pred_instructions_llama_100.csv", "w") as f:
f.writelines(lines_to_write)
print("LLaMA-7B acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/FB13/pred_instructions_llama13b.csv", "r") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("?,")
res = target_line[res_begin_idx + 3: -1]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
with open("data/FB13/pred_instructions_llama13b_100.csv", "w") as f:
f.writelines(lines_to_write)
print("LLaMA-13B acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/FB13/pred_instructions_llama_raw.csv", "r", encoding= "utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("?,")
res = target_line[res_begin_idx + 3: -1]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
with open("data/FB13/pred_instructions_llama_raw_100.csv", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-7B raw acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/FB13/pred_instructions_llama_raw13b.csv", "r", encoding= "utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("?,")
res = target_line[res_begin_idx + 3: -1]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
with open("data/FB13/pred_instructions_llama_raw13b_100.csv", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-13B raw acc: ", correct_count, 1.0 * correct_count/len(labels))
selected_ids = []
lines_to_write = []
with open("data/FB13/test_instructions_glm.json", "r") as f:
lines = f.readlines()
for p in prompts:
for (idx, line) in enumerate(lines):
if line.find(p) != -1:
selected_ids.append(idx)
lines_to_write.append(line)
break
print(selected_ids)
with open("data/FB13/test_instructions_glm_100.json", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
correct_count = 0
lines_to_write = []
with open("data/FB13/generated_predictions.txt", "r") as f:
lines = f.readlines()
selected_lines = [lines[x] for x in selected_ids]
for (i, target_line) in enumerate(selected_lines):
target_line = target_line.strip()
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("\"predict\": \"")
res = target_line[res_begin_idx + len("\"predict\": \""): -2]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
with open("data/FB13/generated_predictions_100.txt", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("GLM acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/FB13/fb13_raw_generated_predictions.txt", "r", encoding= "utf-8") as f:
lines = f.readlines()
for (i, target_line) in enumerate(lines):
target_line = target_line.strip()
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("\"predict\": \"")
res = target_line[res_begin_idx + len("\"predict\": \""): -2]
#print(res)
label = labels[i]
if (res.find("Yes,") != -1 or res.find(" yes") != -1) and label == "1":
correct_count += 1
#print(line, res, label)
elif (res.find("No") != -1 or res.find("not") != -1 or res.find("n't") != -1 or res.find("no") != -1) and label == "-1":
correct_count += 1
print("GLM raw acc: ", correct_count, 1.0 * correct_count/len(labels))